Fifth Workshop on Teaching NLP: Second Call for Papers
Fifth Workshop on Teaching NLP: Second Call for Papers
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The Fifth Workshop on Teaching NLP will be co-located with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021), which will be held online, from June 6 - 11, 2021. The Teaching NLP workshop will take place on June 10th and June 11th. The first day will focus on working groups where we will share experiences and develop recommendations for best practices, while the second day will include talks and/or posters, keynotes, and panel discussions.
The Fifth Workshop on Teaching NLP will be co-located with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021), which will be held online, from June 6 - 11, 2021. The Teaching NLP workshop will take place on June 10th and June 11th. The first day will focus on working groups where we will share experiences and develop recommendations for best practices, while the second day will include talks and/or posters, keynotes, and panel discussions.
Workshop description
Workshop description
The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year, if not sooner. As educators in NLP, we struggle to keep up. We need to make decisions about what to teach and how to teach it with every offering of a course, sometimes even as a course is being offered. The fast-paced nature of NLP brings unique challenges for curriculum design, and the immense growth of the field has lead to not just core NLP courses, but also to more specialized classes and seminars in subareas such as Natural Language Understanding, Computational Social Science, Machine Translation, and many more. We also have an increasing number of students interested in NLP, bringing with them a wide range of backgrounds and experiences.
This workshop seeks to address questions such as, but not limited to:
Topic selection
What are fundamental concepts that NLP practitioners and researchers should learn?
What is the appropriate balance between the use of tools versus understanding of more fundamental concepts?
What is the appropriate balance between Linguistics versus Machine Learning?
What is the appropriate balance between more traditional NLP versus NLP with deep learning?
How has the rapid development of NLP techniques impacted the evolution of courses?
Adapting curricula for different audiences
How should we prepare students for different career trajectories, and for both their short-term prospects and long-term development?
How should we tailor our classes for a broad mix of students of different backgrounds (e.g. social sciences, medicine, humanities)?
How do we teach NLP to students who have limited programming experience?
How do we scale our teaching for larger class sizes while preserving the accessibility of complex material?
Course and academic program design
How do we adapt curriculum to alternative teaching styles, e.g. remote courses, flipped classroom, lectures vs. small seminars?
What kinds of course paths and options should we provide for students traversing an NLP-related degree?
How do we create curriculum and materials for a new NLP course?
What kinds of homework, programming assignments, and projects are particularly effective in teaching NLP concepts?
What kinds of materials are most effective in reaching students, e.g., textbooks, videos, interactive exercises, blog posts, academic papers?
Responsible and ethical NLP
How can we encourage practices that lead to reproducible results in NLP?
What kinds of activities, questions, and exercises are helpful for teaching ethical NLP?
This long-overdue fifth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from many backgrounds to discuss, create, and refine instructional design and material.
We welcome submissions from countries outside of North America.
Submission information
Submission information
We invite two kinds of submissions. All submissions should follow NAACL 2021 style guidelines and formatting and should be submitted via softconf: https://www.softconf.com/naacl2021/teachingnlp2021/.
We invite two kinds of submissions. All submissions should follow NAACL 2021 style guidelines and formatting and should be submitted via softconf: https://www.softconf.com/naacl2021/teachingnlp2021/.
Type 1 submissions: Teaching materials
Type 1 submissions: Teaching materials
We invite submissions of short papers of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework and programming assignments, or projects. The associated teaching materials should be submitted in addition to the short paper. These papers will be peer-reviewed and published as a part of the workshop proceedings, however the teaching materials themselves will not be published. Instead, we will create a Teaching NLP repository where authors may opt-in to make their materials available for re-use after the workshop. These submissions do not need to be anonymized.
We invite submissions of short papers of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework and programming assignments, or projects. The associated teaching materials should be submitted in addition to the short paper. These papers will be peer-reviewed and published as a part of the workshop proceedings, however the teaching materials themselves will not be published. Instead, we will create a Teaching NLP repository where authors may opt-in to make their materials available for re-use after the workshop. These submissions do not need to be anonymized.
Type 2 submissions: Papers
Type 2 submissions: Papers
We invite papers of any length (4-10 pages preferred) discussing pedagogical aspects of NLP focusing on, but not limited to, any of the following general topics:
We invite papers of any length (4-10 pages preferred) discussing pedagogical aspects of NLP focusing on, but not limited to, any of the following general topics:
- Tools and methodologies (e.g., teaching with code, active learning, flipped classroom)
- Scaling curricula to fit large class sizes
- Adapting existing curriculum to incorporate new NLP advancements
- Teaching online NLP courses, or adjusting courses to become remote due to Covid-19
- Teaching underrepresented students
- Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform
- Teaching students who have no or little computer science backgrounds and/or programming experience
- Bridging the gap between academic training and industry needs
- Incorporating ethics, reproducibility, and responsible practices in NLP courses
- Teaching multilingual NLP
These papers may take the form of a reflection or summary of previous experiences, a formal evaluation or assessment of particular pedagogical techniques, a case study, or an opinion piece.
These papers may take the form of a reflection or summary of previous experiences, a formal evaluation or assessment of particular pedagogical techniques, a case study, or an opinion piece.
While there are no page limits to submissions, longer papers will be expected to offer a greater contribution. Authors may choose a non-archival submission, recognizing that some disciplines do not accept journal articles published in workshop proceedings.
While there are no page limits to submissions, longer papers will be expected to offer a greater contribution. Authors may choose a non-archival submission, recognizing that some disciplines do not accept journal articles published in workshop proceedings.
Important dates
Important dates
Workshop submissions due: March 15, 2021
Notification of acceptance: April 15, 2021
Camera-ready papers due: April 26, 2021
Teaching NLP workshop: June 10-11, 2021
Note: All deadlines are 11:59 pm UTC -12h (anywhere on earth).
Instruction for Reviewers
Instruction for Reviewers
For transparency purposes, here are the instructions we will provide for reviewers.
Thank you for agreeing to review for the Teaching NLP workshop! We’d like to offer a few thoughts to consider before you start your reviews.
We are accepting two kinds of submissions, traditional papers (no length limit) and short papers (1-2 pages) accompanied by teaching materials. In the interests of simplicity, we are using the same review form for both kinds of submissions. The reviewing form asks questions about relevance, clarity, and impact and can be found below. In general the goal for your review should be to provide feedback to the authors that allows them to improve their final camera-ready version.
It’s important to remember that how we teach NLP depends quite a bit on the kinds of students we have and the nature of their backgrounds. Keep in mind that the paper or teaching materials you are reviewing might be intended for a very different sort of student than you typically encounter. Make sure that submissions make it clear who their students are, and try to judge the submission from that perspective (rather than from the nature of your own students). Of course it may be that your students and the submissions students are very similar, in which case you are encouraged to comment on how a paper or teaching material submission might impact your own teaching.
We hope to have submissions that give specific ideas about how and what to teach in our NLP classes, as well as submissions that make us think more deeply about broader issues that affect our students and how we teach. In general the question we’d like to ask yourself as you review a paper or teaching material submission is whether (and how) it might benefit someone teaching a similar group of students. The nature of those benefits could be very specific, like a homework assignment or way to organize a class, or it could be more general and provide motivation, inspiration, or re-assurance.
A few procedural notes. There are no length limits to paper submissions. We ask however that you comment on whether the length of a paper is appropriate for the content presented. Teaching material submissions are not anonymous, and will ideally provide materials that will be fairly directly useful to someone currently engaged in teaching or developing an NLP class. While paper submissions should be anonymous, it may be difficult to be truly anonymous especially if web sites or supplemental materials are provided. We would ask reviewers to assume good faith on the part of authors, and to not judge a submission negatively if it is not fully anonymous.
Finally, we hope you consider attending the Teaching NLP workshop. We are planning a variety of events including participatory sessions where workshop attendees brainstorm, discuss, and develop solutions, as well as keynote talks, panels, and presentation of the papers and teaching materials you are soon to review. You are already an important part of our event, and we hope to see you at workshop!
TeachingNLP 2021 Review for Submission #2 Feb 21 a.pdfPage updated
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